Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Using mathematics in deep learning helps us understand which types of problems are most appropriate for ANNs, how to best structure the networks, how long they should train and can generally help ...

Objective: In this study, the accuracy of deep learning-based models developed for synthetic CT (sCT) generation from conventional Cone Beam Computed Tomography (CBCT) images of prostate cancer ...

Flipkart Login GUI using Python (Tkinter) – A simple GUI application that mimics the Flipkart login page using Python’s Tkinter library. Includes username & password input fields, a login button, and ...

Objective: The aim of the present study proposed a deep learning framework for different influenza epidemic states based on Baidu index and the influenza-like-illness rate (ILI%). Methods: Official ...

Abstract: Control systems education plays a fundamental role in engineering education, as it provides the foundation for understanding how dynamic systems respond to various inputs and behave over ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...